Authors : Dr. K. Narsimhulu; S J Musharraf Ali

Volume/Issue : Volume 10 - 2025, Issue 6 - June

Google Scholar : https://tinyurl.com/55zms4z6

DOI : https://doi.org/10.38124/ijisrt/25jun282

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The healthcare system has had a difficult time keeping up with the demands of this age. People are experiencing many medical problems as a result of the rapid population growth, which has made it difficult for the medical system to handle and treat. To solve the problem, we employ technology for the health care revolution, which enables us to receive prompt and precise assistance. In this project, we are developing an AI chatbot with the use of artificial intelligence. As a virtual assistant, an AI chatbot assists us in giving accurate information about the problems, prescribes if the problem is minor, and directs users to see a doctor if the situation is serious.We use natural language processing (NLP) technologies in this chatbot to make the conversation sound human. The conversations are often upgraded.Additionally, it has unique features like multilingual support and the ability to schedule doctor appointments for convenient times. Additionally, it looks up the closest dates for the doctor's appointment and assists users in taking their medications on time. To make our model run effectively, we have employed techniques like RAG, Streamlit, LLM, and FAISS in addition to NLP.To organize and analyze PDF files, we have also introduced data intake tools such as PyPDF2.According to the HIPAA Act, which states that maintaining the use of protected data is the most crucial function, the healthcare system must guarantee that data privacy and security are among the most crucial elements. AI technology can be used to develop a chatbot that will transform the healthcare system and enable us to efficiently receive the right therapy at the right moment.

Keywords : Natural Language Processing (NLP), RAG, Streamlit, LLM, FAISS, Virtual Assistant, AI, ML, Python, Data Ingestion, PyPDF2, Chatbot.

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